AUTHOR=Campi Cristina , Parkkonen Lauri T., Hari Riitta , Hyvärinen Aapo 

TITLE=Non-linear canonical correlation for joint analysis of MEG signals from two subjects

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 7 - 2013

YEAR=2013

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2013.00107

DOI=10.3389/fnins.2013.00107

ISSN=1662-453X

ABSTRACT=We consider the problem of analysing magnetoencephalography (MEG) data measured from two persons undergoing the same experiment, and we propose a method that searches for sources with maximally correlated energies. Our method is based on canonical correlation analysis (CCA), which provides linear transformations, one for each subject, such that the correlation between the transformed MEG signals is maximized. Here, we present a nonlinear version of CCA which measures the correlation of energies. Furthermore, we introduce a delay parameter in the model
to analyse, e.g., leader-follower changes in experiments where the two subjects are engaged in social interaction.